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In this article we present an efficient approach to modeling the acoustic features for the tasks of recognizing various paralinguistic phenomena. Instead of the standard scheme of adapting the Universal Background Model (UBM), represented by the Gaussian Mixture Model (GMM), normally used to model the frame-level acoustic features, we propose to represent the UBM by building a monophone-based Hidden...
The paper presents a comparison of different classification techniques for the task of classifying a speaker's emotional state into one of two classes: aroused and normal. The comparison was conducted using the WEKA (The Waikato Environment for Knowledge Analysis) open source software which consists of a collection of machine learning algorithms for data mining. The aim of this paper is to investigate...
Gabor filters have proven themselves to be a powerful tool for facial feature extraction. An abundance of recognition techniques presented in the literature exploits these filters to achieve robust face recognition. However, while exhibiting desirable properties, such as orientational selectivity or spatial locality, Gabor filters have also some shortcomings which crucially affect the characteristics...
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